Tibeuleu/FOC_Reduction
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Merge branch 'main' of https://github.com/Tibeuleu/FOC_Reduction into main

Browse Source
This commit is contained in:
enloro
2021-06-03 08:24:00 -07:00
parent de2dbce8e7 26fc1eb668
commit 06213ee2de
46 changed files with 2271 additions and 15 deletions
Download Patch File Download Diff File Expand all files Collapse all files

20
src/FOC_reduction.py
View File

@@ -72,12 +72,12 @@ def main():
psf_shape=(9,9)
iterations = 10
# Error estimation
error_sub_shape = (200,200)
error_sub_shape = (75,75)
display_error = False
# Data binning
rebin = True
if rebin:
pxsize = 0.35
pxsize = 0.1
px_scale = 'arcsec' #pixel or arcsec
rebin_operation = 'sum' #sum or average
# Alignement
@@ -85,14 +85,14 @@ def main():
display_data = False
# Smoothing
smoothing_function = 'combine' #gaussian or combine
smoothing_FWHM = None #If None, no smoothing is done
smoothing_FWHM = 0.1 #If None, no smoothing is done
smoothing_scale = 'arcsec' #pixel or arcsec
# Rotation
rotate = False #rotation to North convention can give erroneous results
rotate_library = 'scipy' #scipy or pillow
# Polarization map output
figname = '3C405_FOC' #target/intrument name
figtype = '' #additionnal informations
figname = 'NGC1068_FOC' #target/intrument name
figtype = '_combine_FWHM010' #additionnal informations
SNRp_cut = 3 #P measurments with SNR>3
SNRi_cut = 30 #I measurments with SNR>30, which implies an uncertainty in P of 4.7%.
step_vec = 1 #plot all vectors in the array. if step_vec = 2, then every other vector will be plotted
@@ -112,7 +112,7 @@ def main():
if rebin:
data_array, error_array, headers, Dxy = proj_red.rebin_array(data_array, error_array, headers, pxsize=pxsize, scale=px_scale, operation=rebin_operation)
#Align and rescale images with oversampling.
data_array, error_array = proj_red.align_data(data_array, error_array, upsample_factor=np.min(Dxy).astype(int), ref_center=align_center, return_shifts=False)
data_array, error_array = proj_red.align_data(data_array, error_array, upsample_factor=int(Dxy.min()), ref_center=align_center, return_shifts=False)
#Plot array for checking output
if display_data:
@@ -139,13 +139,15 @@ def main():
## Step 4:
# Save image to FITS.
Stokes_test = proj_fits.save_Stokes(I_stokes, Q_stokes, U_stokes, Stokes_cov, P, debiased_P, s_P, s_P_P, PA, s_PA, s_PA_P, headers[0], figname+figtype, data_folder=data_folder, return_hdul=True)
Stokes_test = proj_fits.save_Stokes(I_stokes, Q_stokes, U_stokes, Stokes_cov, P, debiased_P, s_P, s_P_P, PA, s_PA, s_PA_P, headers, figname+figtype, data_folder=data_folder, return_hdul=True)
## Step 5:
# Plot polarization map (Background is either total Flux, Polarization degree or Polarization degree error).
proj_plots.polarization_map(copy.deepcopy(Stokes_test), SNRp_cut=SNRp_cut, SNRi_cut=SNRi_cut, step_vec=step_vec, savename=figname+figtype, plots_folder=plots_folder, display=None)
proj_plots.polarization_map(copy.deepcopy(Stokes_test), SNRp_cut=SNRp_cut, SNRi_cut=SNRi_cut, step_vec=step_vec, savename=figname+figtype+"_P", plots_folder=plots_folder, display='Pol_deg')
proj_plots.polarization_map(copy.deepcopy(Stokes_test), SNRp_cut=SNRp_cut, SNRi_cut=SNRi_cut, step_vec=step_vec, savename=figname+figtype+"_P_err", plots_folder=plots_folder, display='Pol_deg_err')
#proj_plots.polarization_map(copy.deepcopy(Stokes_test), SNRp_cut=SNRp_cut, SNRi_cut=SNRi_cut, step_vec=step_vec, savename=figname+figtype+"_P", plots_folder=plots_folder, display='Pol_deg')
#proj_plots.polarization_map(copy.deepcopy(Stokes_test), SNRp_cut=SNRp_cut, SNRi_cut=SNRi_cut, step_vec=step_vec, savename=figname+figtype+"_P_err", plots_folder=plots_folder, display='Pol_deg_err')
proj_plots.polarization_map(copy.deepcopy(Stokes_test), SNRp_cut=SNRp_cut, SNRi_cut=SNRi_cut, step_vec=step_vec, savename=figname+figtype+"_SNRi", plots_folder=plots_folder, display='SNRi')
proj_plots.polarization_map(copy.deepcopy(Stokes_test), SNRp_cut=SNRp_cut, SNRi_cut=SNRi_cut, step_vec=step_vec, savename=figname+figtype+"_SNRp", plots_folder=plots_folder, display='SNRp')
return 0